Research Article
Efficient Data Mining Algorithms for Screening Potential Proteins of Drug Target
Algorithm 3
Meta decision tree algorithm.
Input: The training dataset and properties set | Process: Function | Generate a node; | If all of the samples belong to the same class C then | Assign the node as the leaf node of class C; Return | End if | If Or samples in D achieve same values on P then | Assign the node as the leaf node of the class C when most of samples belong to class ; Return | End if | Choose the best partition property from as ; | For each value in : | Generate a branch for the node; Let be the subset of in which sample holds the value ; | If then | Assign the node of branch as the leaf node of the class C when most of samples belong | to class C; Return | Else: | Set the Tree_Generator as the node of branch | End if | End for | Output: A |
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